TRON, Tether and Chainalysis launch task force to combat crypto crime
The new group aims to accelerate the response to blockchain-related crime by identifying threats before victims report incidents or investigators locate illicit funds.
TRON, Tether and Chainalysis have established the Digital Crime Task Force (DCTF) to detect and disrupt financial crime involving Tether’s USDT stablecoin on the TRON blockchain.
The initiative, announced Nov. 12, will combine blockchain intelligence, AI-powered investigations and coordination with law enforcement to identify suspicious activity earlier, trace illicit funds and support investigations and asset freezes before criminals can transfer their proceeds.
The task force brings together the blockchain network, stablecoin issuer and blockchain intelligence provider in an effort to move beyond reactive crime prevention.
Chainalysis will contribute its investigative expertise and intelligence capabilities to identify connections between suspicious transactions, uncover criminal networks and generate actionable leads for law enforcement. DCTF will also accept law enforcement tips and requests to freeze assets.
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The collaboration follows a rise in AI-assisted financial crime. Chainalysis reported that AI-enabled scam operations generated 4.5 times more profits than traditional operations in 2025, while impersonation scams grew more than 1,400% year over year. Tether CEO Paolo Ardoino said the company has frozen more than $7 billion associated with illicit activity and worked with over 360 law enforcement agencies in 73 countries.
DCTF will investigate multiple categories of illicit activity, including investment and romance scams, hacks and stolen funds, terrorist financing, North Korean cyber operations, cartel money laundering, child sexual abuse material-related activity and drug trafficking.
TRON founder Justin Sun said the initiative aims to improve protections for millions of people using USDT on TRON for personal and business transactions.
Disclosure: This article was edited by John Chen. For more information on how we create and review content, see our Editorial Policy.

